# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

if __name__ == '__main__':
    import tensorflow as tf
    import os
    import sys
    from model import Model
    from config import cfg
    from tfflat.base import Trainer


    # 获取参数
    # tf.app.flags.DEFINE_string("data_path", "", "dataset path for training")
    # tf.app.flags.DEFINE_string("output_path", "", "output results")
    # # tf.app.run()
    # tf_flags = tf.app.flags.FLAGS
    # data_path = tf_flags.data_path
    # output_path = tf_flags.output_path
    # print("接收外部参数：", data_path, ",", output_path)

    cfg.set_args()
    trainer = Trainer(Model(), cfg)
    trainer.train()
